Climatiq MCP. Calculate Scope 1, 2, and 3 emissions from data inputs.
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Climatiq Carbon Calculations. Estimate emissions for any activity by searching thousands of validated emission factors. This server lets your AI client calculate CO2e footprints using industry standards like ISIC, NACE, and NAICS.
You can run bulk calculations (up to 100) or get a full list of available regions, sectors, and units of measure.
What your AI agents can do
Batch estimate emissions
Runs up to 100 separate emission calculations in a single request using a JSON array.
Estimate by classification
Calculates emissions using industry classification codes like ISIC or NACE.
Estimate emissions
Calculates carbon emissions for one specific activity using provided parameters.
Calculate carbon emissions for a single, defined activity using a specific set of parameters.
Determine emissions using standard industry classification codes like ISIC or NACE.
Process up to 100 different emission calculations simultaneously in one API call.
Look up specific emission factors within the Climatiq database using keywords and filters.
Retrieve lists of regions, sectors, sources, years, or units to ensure your input data matches the database schema.
Ask AI about this MCP
Supported MCP Clients
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Climatiq Carbon Calculations: 10 Tools for Emissions Data
These tools let your AI client define scope, look up factors, and run complex carbon footprint calculations using industry-validated data.
019d8426batch estimate emissions
Runs up to 100 separate emission calculations in a single request using a JSON array.
019d8426estimate by classification
Calculates emissions using industry classification codes like ISIC or NACE.
019d8426estimate emissions
Calculates carbon emissions for one specific activity using provided parameters.
019d8426list categories
Retrieves a list of all possible emission categories (e.g., energy, transport).
019d8426list regions
Returns a list of all supported geographic regions for factor lookup.
019d8426list sectors
Returns a list of all available emission sectors (e.g., manufacturing, IT).
019d8426list sources
Retrieves a list of all data sources for emission factors (e.g., grid mix, fuel type).
019d8426list units
Returns a list of all valid units of measure accepted by the API.
019d8426list years
Provides a list of all years for which emission factors are available.
019d8426search emission factors
Searches the entire Climatiq database for specific emission factors using keywords.
Choose How to Get Started
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What you can do with this MCP connector
This server lets your AI client crunch carbon numbers for anything you throw at it. You're calculating CO2e footprints using industry standards like ISIC, NACE, and NAICS. You're gonna use it to estimate emissions for specific activities by defining parameters, or you can run up to 100 separate calculations in a single request.
Need to know what data's available? You can get lists of all possible emission categories, all supported regions, all available sectors, all data sources, all valid units of measure, all years, and all possible years. If you're hunting for a specific factor, you can search the entire database using keywords.
You can also figure out what classifications are available by calculating emissions using industry codes like ISIC or NACE.
How Climatiq MCP Works
- 1 Subscribe to this server and enter your Climatiq API Key (Bearer Token).
- 2 Your AI client sends a natural language request, specifying the scope (e.g., 'I need to calculate Scope 3 emissions for 2023').
- 3 The agent runs the necessary tools (like
list_regionsorsearch_emission_factors) to validate inputs and then usesestimate_emissionsto return the final CO2e calculation.
The bottom line is: you talk to your agent, and it handles the complex, multi-step data lookup and calculation required for accurate carbon accounting.
Who Is Climatiq MCP For?
Anyone running sustainability reports or building carbon-aware software needs this. It’s for the environmental consultant who can't afford to manually cross-reference data sheets, or the supply chain manager who needs to quantify the impact of a new logistics route. You use this when you need verifiable, standardized data, not educated guesses.
Runs reports that track carbon footprints across different business units, using tools like estimate_emissions and list_categories to define scopes.
Analyzes the environmental impact of procurement or logistics by calculating emissions based on source and transport data.
Builds applications that require validated, scientific carbon data, using search_emission_factors to embed accurate metrics.
What Changes When You Connect
- Calculate multiple scenarios at once. Instead of running 100 individual API calls, use
batch_estimate_emissionsto process up to 100 calculations in one request. This drastically cuts down on execution time and overhead. - Use industry standards for scope. When you need to report emissions by industry,
estimate_by_classificationaccepts codes like ISIC or NACE, ensuring your calculation aligns with global reporting frameworks. - Validate your inputs first. Before running a calculation, use tools like
list_regions,list_sectors, orlist_unitsto pull a definitive list of available data points. This prevents the 'Invalid Input' error. - Find data without knowing the exact code. If you just know you need 'petrol emissions in the UK', use
search_emission_factors. It finds the right factor ID across the massive database, saving you manual research time. - Build comprehensive reports. By combining
list_categorieswithestimate_emissions, you can define the full scope of a company's environmental impact, from energy usage to waste generation. - Scale data collection. If your product needs to track emissions across multiple years, use
list_yearsto get the available range, then usebatch_estimate_emissionsto process the entire timeline.
Real-World Use Cases
Analyzing a Supply Chain Route
A supply chain manager needs to know the carbon cost of moving goods from Asia to Europe. They ask their agent to run list_regions to confirm 'Asia' and 'Europe' are valid. Then, the agent uses estimate_emissions with the specific transport parameters and the retrieved region codes, delivering a total CO2e impact in minutes, not days.
Benchmarking Across Industries
A sustainability analyst must compare the environmental impact of a tech firm versus a manufacturing plant. They use estimate_by_classification by inputting the ISIC codes for both sectors. The agent calculates the emissions for both, providing a direct, auditable comparison required for investor reports.
Product Lifecycle Assessment
A product owner is building a carbon-aware application. Instead of guessing, they use search_emission_factors to find the specific data needed for 'electricity supplied from grid' for the target region and year. This verified factor feeds directly into the application's calculation engine.
Annual Corporate Reporting
The corporate team needs to calculate emissions for 50 different business units across multiple years. They feed the scope data into the agent, which triggers batch_estimate_emissions, processing all 50 units and 5 years in one go. The final result is a single, structured JSON file.
The Tradeoffs
Manual Cross-Referencing
Looking up region codes in one spreadsheet, then finding sector codes in a second, and finally searching for the correct unit of measure in a third. This guarantees misaligned data and forces manual multiplication.
→
Don't use spreadsheets. Let your agent run list_regions, list_sectors, and list_units first to validate all parameters. Then, feed the validated data into estimate_emissions or batch_estimate_emissions. The system handles the data alignment.
Guessing the Emission Factor
Trying to calculate emissions for a novel activity by estimating the factor based on general knowledge, leading to non-standard, non-auditable numbers.
→
Always start with search_emission_factors. This tool queries the full Climatiq database, ensuring you use a scientifically validated factor and providing the source ID for auditability.
Single-Point Calculation
Running estimate_emissions once and assuming the factor is valid for all years or all regions. This misses scope creep and temporal data shifts.
→
Use list_years to confirm the required time frame, and then use batch_estimate_emissions to run the calculation across the entire time range in one go.
When It Fits, When It Doesn't
Use this if your goal is quantifiable, auditable carbon accounting across multiple dimensions (Scope 1, 2, or 3). You must know the general scope (e.g., 'transportation' or 'energy').
Don't use this if you just need general data or broad industry averages. If you only need to know what 'renewable energy' means, you don't need a complex calculation; you just need a definition.
If you are calculating a specific activity, use estimate_emissions. If you're calculating for an entire corporate division, use estimate_by_classification. If you have a list of 100 data points to check, use batch_estimate_emissions. Always validate your inputs first with list_regions or list_sectors to prevent calculation failure.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Climatiq. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Figuring out a carbon footprint shouldn't require three different database lookups.
Today, calculating a footprint means opening a spreadsheet, manually cross-referencing region codes against sector codes, and then finding the correct year's emission factor for every single line item. It’s a painful, multi-hour process where one wrong tab or a single miscopied code ruins the whole report.
With the Climatiq MCP Server, you just tell your agent the scope and the activity. The agent handles the sequence: it validates the region via `list_regions`, searches the factor via `search_emission_factors`, and spits out the final CO2e number. You get the answer, not the headache.
Climatiq Carbon Calculations MCP Server: Estimate emissions from activity data
You eliminate the need to manually manage factor databases. No more downloading massive CSVs and hoping the column headers line up. You simply define the parameters—weight, volume, fuel type—and the server handles the calculation using verified data.
The result is an immediate, auditable calculation that integrates directly into your workflow. It's not just data; it's the final, verified number you put into your executive summary.
Common Questions About Climatiq MCP
How do I use the `search_emission_factors` tool in Climatiq Carbon Calculations? +
You tell your agent the data you are looking for, like 'electricity factors in Germany'. The tool searches the Climatiq database and returns specific factor IDs, so you know exactly what number to use.
Is `estimate_emissions` the right tool for calculating emissions by sector? +
No. Use estimate_by_classification for sector-based calculations. That tool requires standard industry codes (ISIC, NACE, etc.) to scope the emissions correctly.
Can I calculate many footprints at once with Climatiq Carbon Calculations? +
Yes. Use the batch_estimate_emissions tool. It takes a list of up to 100 calculations and runs them simultaneously, saving massive amounts of time.
What should I use to validate my input units? +
Use the list_units tool. It provides a definitive list of all supported units of measure, ensuring your calculation inputs match the database requirements.
How do I find all available emission categories using the `list_categories` tool? +
Use list_categories to get a full breakdown. This tool retrieves all available emission categories, allowing you to see what kinds of emissions you can model, like energy or transport.
Does `estimate_by_classification` require specific industry codes like ISIC or NACE? +
Yes, estimate_by_classification needs industry classification codes. You supply the parameters as a JSON string, giving the tool the specific standard codes (ISIC, NACE, etc.) it needs to calculate the footprint.
What happens if I try to calculate too many emissions at once? Does `batch_estimate_emissions` have limits? +
The batch_estimate_emissions tool supports up to 100 calculations in one request. If you exceed that limit, you'll get an error, and you'll need to split your calculations into smaller batches.
Which tool should I use to check the supported units of measure for my calculation? +
Use list_units to check supported units. This tool retrieves every unit of measure accepted by the API, so you know exactly what kind of measurements you can use.
Where do I get a Climatiq API Key? +
You can sign up for a developer account at the Climatiq Dashboard to generate your API Bearer Token. They offer a free tier for testing and small-scale usage.
Which carbon equivalents are calculated? +
The API primarily returns CO2e (Carbon Dioxide Equivalent), which includes the combined global warming potential of various greenhouse gases, expressed in a single metric (usually kg or tonnes).
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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